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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Muse Spark OpenMetaRemove
  2. Kimi K2 ThinkingMoonshot AIRemove
muse-spark-open vs kimi-k2-thinking
AttributeMuse Spark Openmuse-spark-openKimi K2 Thinkingkimi-k2-thinking
Pricing
Input$1.25 / 1M$0.34 / 1M
Output$4.25 / 1M$1.50 / 1M
Cache Write (5m)$1.25 / 1M$0.34 / 1M
Cache Write (1h)$1.25 / 1M$0.34 / 1M
Cache Read$1.25 / 1M$0.34 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M262.1K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaMoonshot AI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMuse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.Kimi K2 Thinking is Moonshot AI's most advanced open reasoning model, built on a trillion-parameter MoE with 32B active parameters and a 256K context window. It's optimized for long-horizon, step-by-step reasoning with dynamic tool use, enabling sustained autonomous research, coding, and writing over hundreds of turns. It sets new open-source records on benchmarks like HLE and LiveCodeBench, and maintains stable multi-agent, tool-heavy workflows (200–300 calls) while balancing deep reasoning with efficient inference.